A New Model for Web Content Distributed Data Mining Based on SOAP and Ontology

The increasing amount of data in many web content systems has resulted in interesting opportunities for data driven knowledge discovery and data mining techniques. The aim of this paper is to propose a web content distributed data mining model) to get the benefits from these opportunities. The proposed model tries to overcome the expected difficulties which are related to these kinds of data. Distributed nature, heterogeneous data, privacy, data learning, and increasing interoperability within secured communications and performance issues are also considered.